Technical Program
MQ-L8: Object Detection III |
| Session Type: Lecture |
| Time: Monday, September 18, 16:30 - 18:10 |
| Location: Room 311A |
| Session Chair: Guijin Wang, Tsinghua University |
| MQ-L8.1: A HIGHLY ACCURATE FACIAL REGION NETWORK FOR UNCONSTRAINED FACE DETECTION |
| Han Shu; Tsinghua University |
| Dangdang Chen; Tsinghua University |
| Yali Li; Tsinghua University |
| Shengjin Wang; Tsinghua University |
| MQ-L8.2: REAL-TIME OBJECT DETECTION BY A MULTI-FEATURE FULLY CONVOLUTIONAL NETWORK |
| Yajing Guo; Beijing University of Posts and Telecommunications |
| Xiaoqiang Guo; Academy of Broadcasting Science |
| Zhuqing Jiang; Beijing University of Posts and Telecommunications |
| Aidong Men; Beijing University of Posts and Telecommunications |
| Yun Zhou; Academy of Broadcasting Science |
| MQ-L8.3: OBJECT LOCALIZATION BY OPTIMIZING CONVOLUTIONAL NEURAL NETWORK DETECTION SCORE USING GENERIC EDGE FEATURES |
| Elham Etemad; Dalhousie University |
| Qigang Gao; Dalhousie University |
| MQ-L8.4: GATED ADDITIVE SKIP CONTEXT CONNECTION FOR OBJECT DETECTION |
| Haoran Li; Harbin Institute of Technology |
| Hongxun Yao; Harbin Institute of Technology |
| Yuxin Hou; Harbin Institute of Technology |
| Xiaoshuai Sun; Harbin Institute of Technology |
| MQ-L8.5: RELIABLE PEDESTRIAN DETECTION USING A DEEP NEURAL NETWORK TRAINED ON PEDESTRIAN COUNTS |
| Sanjukta Ghosh; Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) , Siemens Corporate Technology |
| Peter Amon; Siemens Corporate Technology |
| Andreas Hutter; Siemens Corporate Technology |
| André Kaup; Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) |